Rare Variant Association Testing for Sequencing Data Using the Sequence Kernel Association Test (SKAT)
نویسندگان
چکیده
*These authors contributed equally to this work. 1 Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA 2 Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA 3 Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA 4 Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
منابع مشابه
Rare-variant association testing for sequencing data with the sequence kernel association test.
Sequencing studies are increasingly being conducted to identify rare variants associated with complex traits. The limited power of classical single-marker association analysis for rare variants poses a central challenge in such studies. We propose the sequence kernel association test (SKAT), a supervised, flexible, computationally efficient regression method to test for association between gene...
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